Computational Optical Sensing and Processing Laboratory
The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.
Publication date
1997
In: ECCTD '97. Design automation day on cellular computing architectures for multimedia and intelligent image sensors. Budapest, 1997..
In: IEEE International Symposium on Circuits and Systems, ISCAS 2015 Proceedings - IEEE International Symposium on Circuits and Systems (2015-J) IEEE, New York, pp. 1981-1984. ISSN 0271-4310
Emulating massively parallel non-Boolean operators on FPGA
Minimal wire width violation detection on layouts of printed circuit boards by using a CNN universal machine chip. ( Research report of the Department of Image Processing and Neurocomputing IPNC-1-1997.)
In: IEEE International Symposium on Circuits and Systems, ISCAS 2015 Proceedings - IEEE International Symposium on Circuits and Systems (2015-J) IEEE, New York, pp. 1973-1976. ISSN 0271-4310
Cellular sensor-processor array based visual collision warning sensor
The use of CNN technology in echocardiography: spatio-temporal nonlinear filtering and contour detection. (Research report of the Analogical and Neural Computing Laboratory, DNS-7-1997.)
Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)